The posting
- Bachelor's degree in Data Science, Statistics, Mathematics, Econometrics, Computer Science or a related discipline.
- Atleast 9-10 years of analytics/data-science experience, including significant banking or financial-services delivery.
Technical Skills:
FUNCTIONAL / DOMAIN
· AML/ financial crime, payment analytics, customer risk, fraud, finance or regulatory analytics.
· Business measures, analytical datasets, model outputs, risk signals and investigation feedback.
· Model governance, validation, explainability, audit evidence and responsible AI.
TECHNICAL
· Python, SQL, Spark, R, scikit-learn, TensorFlow/PyTorch, MLflow and analytical notebooks.
· Statistical modelling, machine learning, segmentation, anomaly detection, time series and optimisation.
· Teradata, Hadoop/Cloudera, Lakehouse platforms, Qlik/Power BI and data visualisation.



